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Title: A Survey of Techniques for Modeling and Improving Reliability of Computing Systems

Recent trends of aggressive technology scaling have greatly exacerbated the occurrences and impact of faults in computing systems. This has made `reliability' a first-order design constraint. To address the challenges of reliability, several techniques have been proposed. In this study, we provide a survey of architectural techniques for improving resilience of computing systems. We especially focus on techniques proposed for microarchitectural components, such as processor registers, functional units, cache and main memory etc. In addition, we discuss techniques proposed for non-volatile memory, GPUs and 3D-stacked processors. To underscore the similarities and differences of the techniques, we classify them based on their key characteristics. We also review the metrics proposed to quantify vulnerability of processor structures. Finally, we believe that this survey will help researchers, system-architects and processor designers in gaining insights into the techniques for improving reliability of computing systems.
Authors:
 [1] ;  [2]
  1. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Future Technologies Group
  2. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Future Technologies Group; Georgia Inst. of Technology, Atlanta, GA (United States)
Publication Date:
OSTI Identifier:
1261262
Grant/Contract Number:
AC05-00OR22725
Type:
Accepted Manuscript
Journal Name:
IEEE Transactions on Parallel and Distributed Systems
Additional Journal Information:
Journal Volume: 27; Journal Issue: 4; Journal ID: ISSN 1045-9219
Publisher:
IEEE
Research Org:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org:
USDOE
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING review; classification; reliability; resilience; fault-tolerance; vulnerability; architectural vulnerability factor; soft/transient error; architectural techniques; software architecture; software reliability; storage management; 3D-stacked processors; GPU; aggressive technology scaling; computing systems; non-volatile memory